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» Modeling Classification and Inference Learning
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CORR
2012
Springer
220views Education» more  CORR 2012»
12 years 3 months ago
Sparse Topical Coding
We present sparse topical coding (STC), a non-probabilistic formulation of topic models for discovering latent representations of large collections of data. Unlike probabilistic t...
Jun Zhu, Eric P. Xing
AAAI
1994
13 years 9 months ago
Learning to Reason
We introduce a new framework for the study of reasoning. The Learning (in order) to Reason approach developed here views learning as an integral part of the inference process, and ...
Roni Khardon, Dan Roth
JMLR
2010
125views more  JMLR 2010»
13 years 3 months ago
On utility of gene set signatures in gene expression-based cancer class prediction
Machine learning methods that can use additional knowledge in their inference process are central to the development of integrative bioinformatics. Inclusion of background knowled...
Minca Mramor, Marko Toplak, Gregor Leban, Tomaz Cu...
MM
2006
ACM
203views Multimedia» more  MM 2006»
14 years 2 months ago
Learning image manifolds by semantic subspace projection
In many image retrieval applications, the mapping between highlevel semantic concept and low-level features is obtained through a learning process. Traditional approaches often as...
Jie Yu, Qi Tian
CIKM
2006
Springer
13 years 12 months ago
Coupling feature selection and machine learning methods for navigational query identification
It is important yet hard to identify navigational queries in Web search due to a lack of sufficient information in Web queries, which are typically very short. In this paper we st...
Yumao Lu, Fuchun Peng, Xin Li, Nawaaz Ahmed